cspit@charusat.ac.in +91-2697-265131

Web Technologies


Web Technologies Lab of IT department resides at lab no. 404-B 1st floor of CE/IT building.It is primarily used for the courses related to web technologies. It contains 45 latest Dell Optiplex machines and also provides suitable space for students to work together and interact with their instructor. The machines are equipped with relevant software tools like PHP, Web server, Wamp, Macromedia Dream Weaver and Net Beans.


Students work with Markup Languages like HTTP, scripting languages like PHP as well as JAVA and use utilities for designing website graphics like Flash. The lab also has adequate projection facilities for presentations so that both the instructor can deliver the lecture content and the students can present their Projects : effectively.

Course Information

Resources and Configurations

Softwares
  • IT213 - Web Technologies
  • IT316 - Advanced Java Programming
  • Number of Computers: 23
  • Operating System: Windows 7
  • Model: HP
  • Processor: Intel(R) Core(TM) i3-7100 CPU @ 3.90GHz, 3900 Mhz, 2 Core(s), 4 Logical Processor(s)
  • RAM:16GB
  • Storage:2TB HDD
  • Cisco Manageable Network Switch
  • Dreamweaver
  • WAMP
  • Adobe Flash
  • Adobe ACrobat Document
  • Netbeans
  • Notepad++
  • Microsoft Office

Publications


Sr. No. Publication
1 Patel Jay, Pinal Shah, Kamlesh Makvana, and Parth Shah. Review on web search personalization through semantic data. In Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on, pages 1{6. IEEE, 2015.
2 Kamlesh Makvana, Pinal Shah, and Parth Shah. A novel approach to personalize web search through user profiling and query reformulation. In Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on, pages 1{10. IEEE, 2014.
3 Kamlesh Makvana, Patel Jay, Parth Shah, and Amit Thakkar. An approach to identify semantic relations between user's queries in text retrieval. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, page 65. ACM, 2016.
4 Kamlesh Makvana, Pinal Shah, and Parth Shah. A novel approach to personalize web search through user profiling and query reformulation. In Data Mining and Intelligent Computing (ICDMIC), 2014 International Conference on, pages 1{10. IEEE, 2014.
5 Kamlesh Makvana, Pinal Shah, and Parth Shah. Removal of single-word ambiguity in web search query through single click information. 2014.
6 Kamlesh Makwana Pinal Shah. Removal of single word ambiguity using single click information. In Emerging Research in Computing, Information, Communication and Applications (ERCICA-14), volume 1, pages 11-18. Elsevier, 2014.
7 Kamlesh Makwana Pinal Shah. Review on enhancing personalized web search re-ranking algorithm, 2014.
8 Renu Gupta, Ankita Shah, Amit Thakkar, and Kamlesh Makvana. A survey on various web page ranking algorithms. Compusoft, 5(1):2046, 2016.
9 Nidhi Madia, Amit Thakkar, and Kamlesh Makvana. Survey on recommendation system using semantic web mining. International Journal of Innovative and Emerging Research in Engineering, 2(2), 2015.
10 Sanket Shah, Amit Thakkar, and Sonal Rami. A novel approach for making recommendation using skyline query based on user location and preference. Indian Journal of Science and Technology, 9(30), 2016.
11 Prof. Parth D. Shah Prof. Bhaumik Nagar Jaimin Shro_. A survey:-optimize visual image search for semantic web. International Journal of Computer Science and Information Technologies, 3(2):3668{3671,2012.

Contact Us

Address

Department of Information Technology
Charotar University of Science and Technology,
CHARUSAT Campus, Changa
Taluka: Petlad, Dist: Anand
Gujarat (India) 388 421

Phone Number

+91-2697-265131

Email

cspit@charusat.ac.in